Publications about field aberration

@ARTICLE{Voisin13,
	author = { Voisin, A. and Krylov, V. and Moser, G. and Serpico, S.B. and Zerubia, J. },
	title = { Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model },
	year = { 2012 },
	journal = { IEEE Geoscience and Remote Sensing Letters },
	note = { to appear in 2013 },
	url = { http://dx.doi.org/10.1109/LGRS.2012.2193869 },
	keyword = { Hierarchical Markov random fields (MRFs) , Supervised classification, synthetic aperture radar (SAR), Textural features, urban areas, wavelets }
 }

@INPROCEEDINGS{ICIP12,
	author = { Krylov, V. and Moser, G. and Voisin, A. and Serpico, S.B. and Zerubia, J. },
	title = { Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test },
	year = { 2012 },
	month = { October },
	booktitle = { Proc. IEEE International Conference on Image Processing (ICIP) },
	address = { Orlando, United States },
	url = { http://hal.inria.fr/hal-00724284 }
 }

@INPROCEEDINGS{SPIE12,
	author = { Voisin, A. and Krylov, V. and Moser, G. and Serpico, S.B. and Zerubia, J. },
	title = { Multichannel hierarchical image classification using multivariate copulas },
	year = { 2012 },
	month = { January },
	booktitle = { IS&T/SPIE Electronic Imaging – Computational Imaging X },
	address = { San Francisco, United States },
	url = { http://dx.doi.org/10.1117/12.917298 }
 }

@INPROCEEDINGS{7830-23,
	author = { Voisin, A. and Moser, G. and Krylov, V. and Serpico, S.B. and Zerubia, J. },
	title = { Classification of very high resolution SAR images of urban areas by dictionary-based mixture models, copulas and Markov random fields using textural features },
	year = { 2010 },
	month = { September },
	booktitle = { Proc. of SPIE (SPIE Symposium on Remote Sensing 2010) },
	volume = { 7830 },
	address = { Toulouse, France },
	url = { http://hal.archives-ouvertes.fr/inria-00516333/en },
	pdf = { http://hal.archives-ouvertes.fr/docs/00/51/63/33/PDF/Classification_of_VHR_SAR_SPIE_sept2010_Toulouse_Voisin.pdf },
	keyword = { SAR Images, Supervised classification, Urban areas, Textural features, Copulas, Markov Random Fields }
 }

@INPROCEEDINGS{inria-00592252,
	author = { Kayabol, K. and Voisin, A. and Zerubia, J. },
	title = { SAR image classification with non- stationary multinomial logistic mixture of amplitude and texture densities },
	year = { 2011 },
	month = { September },
	booktitle = { Proc. IEEE International Conference on Image Processing (ICIP) },
	pages = { 173-176 },
	address = { Brussels, Belgium },
	url = { http://hal.inria.fr/inria-00592252/en/ },
	keyword = { High resolution SAR images, Classification, Texture, Multinomial logistic, Classification EM algorithm }
 }

@INPROCEEDINGS{VoisinGretsi2011,
	author = { Voisin, A. and Krylov, V. and Zerubia, J. },
	title = { Classification bayésienne supervisée d’images RSO de zones urbaines à très haute résolution },
	year = { 2011 },
	month = { September },
	booktitle = { Proc. GRETSI Symposium on Signal and Image Processing },
	address = { Bordeaux },
	url = { http://hal.inria.fr/inria-00623003/fr/ },
	keyword = { SAR Images, Classification, Urban areas, Markov Fields, Hierarchical models }
 }

@INPROCEEDINGS{EURASIP12,
	author = { Voisin, A. and Krylov, V. and Moser, G. and Serpico, S.B. and Zerubia, J. },
	title = { Classification of multi-sensor remote sensing images using an adaptive hierarchical Markovian model },
	year = { 2012 },
	month = { August },
	booktitle = { EURASIP },
	address = { Bucarest, Romania },
	url = { http://hal.inria.fr/hal-00723286 }
 }

@TECHREPORT{RR-7758,
	author = { Voisin, A. and Krylov, V. and Moser, G. and Serpico, S.B. and Zerubia, J. },
	title = { Classification of very high resolution SAR images of urban areas },
	year = { 2011 },
	month = { October },
	institution = { INRIA },
	type = { Rapport de recherche },
	number = { 7758 },
	url = { http://hal.inria.fr/docs/00/63/10/38/PDF/RR-7758.pdf },
	keyword = { Synthetic Aperture Radar (SAR) image, Supervised classification, Bayesian, finite mixture models, hierarchical Markov random fields, wavelet }
 }

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